*** Builder log created: {2021-10-27 15:17:05}
*** Builder log completed: {2021-10-27 15:17:24}
running
  '/Library/Frameworks/R.framework/Versions/4.1/Resources/bin/R --no-echo --no-restore --no-save --no-restore --file=source/descriptive/plot_driver.R'


Attaching package: ‘dplyr’

The following objects are masked from ‘package:stats’:

    filter, lag

The following objects are masked from ‘package:base’:

    intersect, setdiff, setequal, union

Loading required package: mice

Attaching package: ‘mice’

The following object is masked from ‘package:stats’:

    filter

The following objects are masked from ‘package:base’:

    cbind, rbind

* miceadds 3.11-6 (2021-01-21 11:48:47)
Loading required package: carData

Attaching package: ‘car’

The following object is masked from ‘package:dplyr’:

    recode

corrplot 0.90 loaded

Attaching package: ‘data.table’

The following objects are masked from ‘package:dplyr’:

    between, first, last

── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
✔ tibble  3.1.2     ✔ purrr   0.3.4
✔ tidyr   1.1.3     ✔ forcats 0.5.1
✔ readr   1.4.0     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ data.table::between() masks dplyr::between()
✖ mice::filter()        masks dplyr::filter(), stats::filter()
✖ data.table::first()   masks dplyr::first()
✖ dplyr::lag()          masks stats::lag()
✖ data.table::last()    masks dplyr::last()
✖ car::recode()         masks dplyr::recode()
✖ purrr::some()         masks car::some()
✖ purrr::transpose()    masks data.table::transpose()
------------------------------------------------------------------------------
You have loaded plyr after dplyr - this is likely to cause problems.
If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
library(plyr); library(dplyr)
------------------------------------------------------------------------------

Attaching package: ‘plyr’

The following object is masked from ‘package:purrr’:

    compact

The following objects are masked from ‘package:dplyr’:

    arrange, count, desc, failwith, id, mutate, rename, summarise,
    summarize

`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'

── Column specification ────────────────────────────────────────────────────────
cols(
  X1 = col_double(),
  country = col_character(),
  `Inequality (Gini)` = col_double()
)


── Column specification ────────────────────────────────────────────────────────
cols(
  X1 = col_double(),
  country = col_character(),
  `Trade share of GDP` = col_double()
)


── Column specification ────────────────────────────────────────────────────────
cols(
  X1 = col_double(),
  country = col_character(),
  `Share getting news online` = col_double()
)


── Column specification ────────────────────────────────────────────────────────
cols(
  X1 = col_double(),
  country = col_character(),
  `Priv. 24-hr TV news (count)` = col_double()
)


── Column specification ────────────────────────────────────────────────────────
cols(
  X1 = col_double(),
  country = col_character(),
  `Foreign-born share` = col_double()
)


── Column specification ────────────────────────────────────────────────────────
cols(
  X1 = col_double(),
  country = col_character(),
  `Non-white share` = col_double()
)


── Column specification ────────────────────────────────────────────────────────
cols(
  X1 = col_double(),
  country = col_character(),
  `Partisan-ideological sorting` = col_double()
)


── Column specification ────────────────────────────────────────────────────────
cols(
  X1 = col_double(),
  country = col_character(),
  `Elite polarization` = col_double()
)

There were 50 or more warnings (use warnings() to see the first 50)
